Data Engineer

CVS Health•Irving, TX

4d•$114,379 - $144,200•Remote

About The Position

Caremark LLC., a CVS Health company, is hiring for the following role in Irving, TX: Data Engineer to analyze data engineering problems and develop, build and manage large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; test and maintain systems and troubleshoot malfunctions; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Telecommuting available. Multiple positions.

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Electrical Engineering, Business Analytics, Computer Information Systems, or a related field
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Java, Python, or R
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Amazon Web Services (AWS), or Google Cloud Platform (GCP)
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Spark, PySpark, Airflow, Kafka, or MySQL
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Visualization tools, including PowerBI, Tableau, ArcGIS, Excel Powerview, and D3
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Developing backend services, performing code reviews, and collaborating with peers on software development solutions
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Contributing to largescale applications development, data science, or data analytics projects
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Data analytics on large data sets in healthcare, business, or retail sector
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Extract/Transform/Load (ETL) processes
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Developing data and analytics-based platform capabilities, services, or products
Completion of a university level course, research project, internship, thesis, or 6 months of experience in Supporting large data, analytics, and technology modernization initiatives

Responsibilities

Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities.
Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes.
Test and maintain systems and troubleshoot malfunctions.
Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines.
Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems.
Build data marts and data models to support Data Science and other internal customers.
Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards.
Analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems.
Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.